Research Area METALLURGY PhD in “Emerging Digital Technologies”

Department

TeCIP Institute, Sant'Anna School of Advanced Studies - Pisa

Main research activities/topics/projects

Decarbonisation and reduction of environmental impact of steel production including hydrogen use, by-products reuse and recycling, industrial symbiosis and energy efficiency. The work refers to modelling, simulation, management and optimization of processes involved in the iron and steel production and manufacturing. The work can include physics-based modelling in dedicated simulation environments (e.g. Aspen Plus, Modelica) and/or application of Artificial Intelligence (AI) tools and techniques and Hybrid-AI methods. Depending on the specific topic, the field of research can refer to metallurgy and material science, chemical science and engineering, computer science and engineering

Special entry requirements

Basic computer skills for PhD students and Post-Doc applying for topics more related to Metallurgy Fundamentals of Artificial Intelligence and Machine
Learning for PhD students and Post-Doc applying for topics more related to Computer Science and Engineering

Duration in months (min-max) 

PhD sandwich: 6-12

Post Doc: 6 -24